Search Results for author:
Found 5 papers, 4 papers with code
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation
This allows to assess the saliency given to features which depend on the rotation speed and those with constant frequency.
Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Design
Chiral photonics opens new pathways to manipulate light-matter interactions and tailor the optical response of meta-surfaces and -materials by nanostructuring nontrivial patterns.
Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation
As a result, predictions of the hourly day-ahead energy consumption of single customers are represented by random variables drawn from lognormal distributions obtained as output from the neural network.
Condition Monitoring of Drive Trains by Data Fusion of Acoustic Emission and Vibration Sensors
Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities.
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data
630 RPM to 2330 RPM, three sensors were used to record vibrations on the rotating shaft at a sampling rate of 4096 values per second.
